Strategic advice & alerts to leverage data analytics & new technologies

Leverage data and the technologies that generate it, from ML, IA, NLP, blockchain, IoT, and emerging tech; to data science, data visualization, predictive modeling; to data quality, data governance, and data architecture.

Learn More

Recently Published

AI certainly challenges our under­standing of what intelligence is, not to mention our belief in the inherent superiority of human thinking over machines. But the causes of mistrust go beyond these existential considerations, as are identified in this Advisor.
This Executive Update first reviews cloud basics then looks at lessons learned from past on-premises development and deployment applications and how these apply to SaaS. It then examines some additional challenges SaaS brings to organizations, including the underlying reasons why SaaS projects can fail.
In Part VIII of this Executive Update series on IPA in the enterprise, we examine findings concerning the major challenges organizations indicate are hindering their efforts to apply IPA.
Higher expectations of customer service and trends in online fraud are forcing government agencies and businesses alike to modernize their digital identity management systems as more people engage with online services. As we explore in this Advisor, this includes employing applications — in the form of cloud platforms and services licensed from commercial providers — that integrate machine learning (ML), machine vision, and biometrics combined with mobile access in order to automate the verification and authentication of government-issued IDs and other documents.
Finding and leveraging the right data is key to achieving strategic advantage. Creating a data supermarket of usable data can help businesses make critical decisions, and a system called cataloging makes this data supermarket possible. This Advisor explores how cataloging enables the connection of different elements of a data pipeline to provide a more orderly and efficient management of data, especially as the volume and variety of data increases.
More than a decade ago, Cutter Consortium introduced the concept of green IT in an Executive Report and outlined IT’s role in creating a sustainable environment. The topic has become all the more important and relevant today. In this Report, we provide an updated, holistic view of greening IT and how we can — and should — embrace IT to address the environmental challenges we face.
The accompanying Executive Report, an update to a previous Report, outlines IT’s environmental impacts, discusses three key facets of green IT, and shows how we can go green with our IT systems and applications. The Report highlights opportunities for IT-enabled solutions and assistance to better sustain and manage our environment and presents useful insights to help make smart green IT decisions.
The application of advanced technologies, including artificial intelligence (AI), are increasingly being used to detect wildfires before they grow out of control, predict a wildfire's path, and assess the risk and potential damage caused by wildfires. This Advisor explores the application of AI and machine learning technologies to mitigate the impact of wildfires.